Triple
T12970393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassano d’Adda |
E321377
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Inzago
Inzago is a small municipality in the Lombardy region of northern Italy, situated in the Metropolitan City of Milan.
|
E1028472
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Inzago | Statement: [Cassano d’Adda, locatedNear, Inzago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inzago Context triple: [Cassano d’Adda, locatedNear, Inzago]
-
A.
Barzio
Barzio is a small mountain town in northern Italy’s Lombardy region, known as a gateway to the Valsassina area and nearby ski resorts.
-
B.
Cherasco
Cherasco is a historic town in Italy’s Piedmont region, known for its medieval architecture, strategic hilltop location, and proximity to renowned wine-producing areas such as Barolo.
-
C.
Valmadrera
Valmadrera is a town and comune in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic mountainous surroundings.
-
D.
Valdagno
Valdagno is a town in northeastern Italy known for its textile industry heritage and location in the Veneto region’s Vicenza province.
-
E.
Ivrea
Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Inzago Triple: [Cassano d’Adda, locatedNear, Inzago]
Generated description
Inzago is a small municipality in the Lombardy region of northern Italy, situated in the Metropolitan City of Milan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inzago Target entity description: Inzago is a small municipality in the Lombardy region of northern Italy, situated in the Metropolitan City of Milan.
-
A.
Barzio
Barzio is a small mountain town in northern Italy’s Lombardy region, known as a gateway to the Valsassina area and nearby ski resorts.
-
B.
Cherasco
Cherasco is a historic town in Italy’s Piedmont region, known for its medieval architecture, strategic hilltop location, and proximity to renowned wine-producing areas such as Barolo.
-
C.
Valmadrera
Valmadrera is a town and comune in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic mountainous surroundings.
-
D.
Valdagno
Valdagno is a town in northeastern Italy known for its textile industry heritage and location in the Veneto region’s Vicenza province.
-
E.
Ivrea
Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e407e5081909424fc0c22483c28 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff00a2f48190b88babba80521818 |
completed | May 3, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_69f703be3d8c8190aa004eb15dfdc98e |
completed | May 3, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70441c874819097e91125667a41f5 |
completed | May 3, 2026, 8:16 a.m. |
Created at: April 9, 2026, 8:34 p.m.